openmedical/registry
← registry

data-multi-subject

imported

software/data-multi-subject

Multi-subject data for the Spine Generic project

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
CC-BY-4.0(cc)
Status
active
Maturity
deployed
Organization
spine-generic
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
database · mri · mri-images
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • MriResearchTools.jlmri · mri-images

    Specialized tools for MRI

  • SegNetCMRmri · mri-images

    A Tensorflow implementation of SegNet for cardiac MRI segmentation

  • brain-tumor-mri-datasetmri · mri-images

    Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.

  • MRISkullStrippingmri · mri-images

    Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.

  • Magnetic resonance imaging (MRI) is an advanced imaging technique that is used to observe a variety of diseases and parts of the body..neural networks can analyze these images individually (as a…

  • GANs-Style-Transfer-MRI-T2-to-T2 : Misdiagnosis in the medical field is a very serious issue but it’s also uncomfortably common to occur. Imaging procedures in the medical field requires an expert…

sources
  1. api.github.com/repos/spine-generic/data-multi-subject
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-04, 33 stars, license reported as CC-BY-4.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/8.json→ .entries["data-multi-subject"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.